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Oct 01, 2025
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The Information Forum Digest
The top posts from The Information's subscriber only community.
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Featured posts
Posted by Sam Lessin · Intern 7 hours ago
1. TECH — The tech is cool… and I now get why meta put out their generative AI feed a few days ago to beat them to the punch…. The face/voice...
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Top comments
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Mihai Suta
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It starts with education and pen‑and‑paper basics: understand your company’s processes, data structures, and workflows; identify the key use cases; study the model landscape and market trends; and then adapt and train the teams. AI adoption means large‑scale augmentation, so not only are more resources required, but especially people.
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Robert Dvorak
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Distyl AI’s raise highlights the demand for hands-on AI expertise. Forward-deployed engineers and quick integrations solve immediate needs — but history shows nearly all AI pilots collapse before reaching scale. The reason? Enterprises are still trying to graft AI onto Traditional Operating Models (TOMs) that were never built to carry it.
What’s needed isn’t just adoption — it’s operationalization. A Business Operating System (BOS), harmonizing AI × IT × Human Intelligence, changes the equation from incremental automation to exponential operating leverage. That’s where revenue growth, cost optimization, and resilience converge.
Capital is pouring into adoption. The next wave of leaders will be those who deliver operationalization. Bob
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Josh Bersin
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Benioff has been a terrific cheerleader for AI but now reality sets in. All the hard work is in redesigning jobs, business processes, and customer experiences - it's not as easy as "buying a tool and turning it on." So it's not surprising that Salesforce's AI-centric revenues are lagging (much of their tech is quite dated).
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